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vynbosserman65

How To Edit Videos

by vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install how-to-edit-videos
Description
edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and YouTubers use it for t...
README (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "trim the dead air, add transitions,"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

How to Edit Videos — Edit and Export Finished Videos

Send me your raw video footage and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute unedited phone recording, type "trim the dead air, add transitions, and put text overlays on key moments", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 2 minutes process significantly faster than long recordings.

Matching Input to Actions

User prompts referencing how to edit videos, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source how-to-edit-videos
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the dead air, add transitions, and put text overlays on key moments" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across platforms and devices.

Common Workflows

Quick edit: Upload → "trim the dead air, add transitions, and put text overlays on key moments" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

Usage Guidance
This skill appears to be a straightforward client for a remote video-editing API, but check a few things before installing: 1) Verify the API domain (mega-api-prod.nemovideo.ai) and its privacy/terms — understand what happens to uploaded videos and how long they're stored. 2) Confirm NEMO_TOKEN is scoped only to this service (don't reuse any sensitive tokens like cloud provider or personal account tokens). 3) Ask the publisher why the SKILL.md frontmatter mentions a local config path (~/.config/nemovideo/) while registry metadata did not — clarify whether the agent will read that folder and what it contains. 4) Test with non-sensitive/sample videos first and limit token privileges/expiry where possible (use the anonymous-token flow if appropriate). 5) If you need stronger assurance, request the skill's homepage or source, or run the integration in a sandboxed agent environment.
Capability Analysis
Type: OpenClaw Skill Name: how-to-edit-videos Version: 1.0.0 The skill is a functional integration for an AI-powered video editing service hosted at mega-api-prod.nemovideo.ai. It manages authentication via the NEMO_TOKEN environment variable, handles session state, and coordinates video uploads and rendering tasks through a series of API calls. The instructions in SKILL.md are well-structured for an AI agent, including error handling and state management, and do not exhibit signs of data exfiltration, unauthorized access, or malicious intent.
Capability Assessment
Purpose & Capability
The skill's name and description (remote AI video editing, upload/process/export) match the SKILL.md instructions (upload endpoints, render pipeline). Requesting a single NEMO_TOKEN credential is proportionate to a remote API client. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata listed no required config paths—this mismatch is unexplained.
Instruction Scope
Instructions stay within video-editing scope: obtain or generate an API token, create a session, upload media, use SSE for edits, poll export status, and return download URLs. They do not instruct reading unrelated system files. A minor scope question: the skill asks to 'auto-detect' an install platform from an install path (clawhub/cursor/unknown), which may require reading agent runtime/install information—this is reasonable for attribution but worth confirming doesn't access other agent config.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. Nothing is downloaded or written to disk by an installer step in the package itself.
Credentials
Only NEMO_TOKEN is declared as required, which fits a 3rd-party API. But the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that implies the skill might read local config files; the registry summary did not list that path. Confirm whether the agent will read that path (and what it contains). Also confirm that NEMO_TOKEN is a dedicated API token (not a more powerful system credential) before providing it.
Persistence & Privilege
The skill is not forced-always and uses normal autonomous invocation defaults. It does not request to modify other skills or system-wide settings. No persistence or elevated privileges are requested in the package itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install how-to-edit-videos
  3. After installation, invoke the skill by name or use /how-to-edit-videos
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of How to Edit Videos — Edit and Export Finished Videos. - Supports AI-powered editing of raw video footage (MP4, MOV, AVI, WebM up to 500MB). - Provides built-in cloud GPU processing for fast, 1080p MP4 exports (1–2 minutes typical). - Handles trimming, transitions, text overlays, aspect ratio changes, and audio editing via natural language prompts. - Seamless session setup with automated token management and anonymous usage (100 free credits, 7-day expiry). - Offers clear error handling, supported file formats, and step-by-step session status feedback.
Metadata
Slug how-to-edit-videos
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is How To Edit Videos?

edit raw video footage into edited video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators and YouTubers use it for t... It is an AI Agent Skill for Claude Code / OpenClaw, with 86 downloads so far.

How do I install How To Edit Videos?

Run "/install how-to-edit-videos" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is How To Edit Videos free?

Yes, How To Edit Videos is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does How To Edit Videos support?

How To Edit Videos is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created How To Edit Videos?

It is built and maintained by vynbosserman65 (@vynbosserman65); the current version is v1.0.0.

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